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我有一个生成下表的 sql 查询，但我希望能够获得按类别分组的标记列的总数： 在此处输入图像描述

这是代码：

select pic.Name as Category,
pis.Code as Code,
pis.Name as Issue,
count(it.ID) as  'total count',
sum(mc.ots) as 'Imps',
sum(case when ito.rating <50 then 1 else 0 end) as 'unfav count',
sum(case when ito.Rating =50  then 1 else 0 end) as 'neu count',
sum(case when ito.Rating >50  then 1 else 0 end) as 'fav count',

(sum(case when ito.rating < 50 then 1.0 else 0.0 end) / count(it.ID) * 100) as 'unfav %',
(sum(case when ito.Rating =50  then 1.0 else 0.0 end) / count(it.ID) * 100) as 'neu %',
(sum(case when ito.Rating >50  then 1.0 else 0.0 end) / count(it.ID) * 100) as 'fav %',

CONVERT(decimal(4,2),avg(ito.Rating)) as 'Av Rating %',

count(it.id) * 100.0 / sum(count(it.ID)) OVER () AS [% of Count],
sum(mc.ots) * 100.0 / sum(sum(mc.ots)) OVER () AS [% Imps]

from 
Profiles P 
INNER JOIN ProfileResults PR ON P.ID = PR.ProfileID
INNER JOIN Items it ON PR.ItemID = It.ID
inner join Batches b on b.ID=it.BatchID
left outer join BatchActionHistory bah on b.ID=bah.batchid
inner join itemorganisations oit (nolock) on it.id=oit.itemid
inner join itemorganisations ito (nolock) on it.id=ito.itemid
inner join itemorganisationIssues ioi (nolock) on ito.id=ioi.itemorganisationid
inner join ProjectIssues pis (nolock)on ioi.IssueID = pis.ID
inner join ProjectIssueCategories pic (nolock)on pic.ID = pis.CategoryID
inner join Lookup_ItemStatus lis (nolock) on lis.ID = it.StatusID
inner join Lookup_BatchStatus lbs (nolock) on lbs.ID = b.StatusID
inner join Lookup_BatchTypes bt on bt.id = b.Typeid
inner join Lookup_MediaChannels mc on mc.id = it.MediaChannelID


where p.ID = @profileID 
and b.StatusID IN (6,7)
and bah.BatchActionID = 6
and it.StatusID = 2
and it.IsRelevant = 1


Group BY pic.Name,pis.Name,pis.Code
order by pic.name
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2 回答 2

4

您可以使用sum()windows 功能执行此操作。您实际上可以使用常规聚合函数嵌套它。所以：

sum(count(it.ID)) over () as TotalCnt,
sum(sum(mc.ots)) over () as TotalImps

这假定您使用的是 SQL Server 2005 或更高版本。

这适用于“整列”。对于子组，例如由类别定义的子组，同样的想法也成立（正如 Alexander 所指出的）：

    sum(count(it.ID)) over (partition by category) as CategoryCnt, sum(sum(mc.ots)) over (partition by category) as CategoryImps

于 2013-04-26T13:35:49.850 回答
2

阅读关于WITH ROLLUP子句（或分组集，在更高版本的 sql server 中可用 - 我不知道您使用的是哪一个）。它将按来自GROUP BY（3 列分组依据、2 列分组依据、1 列分组依据和总计）的列组合对您的输出进行分组。然后，您可以在聚合时使用 GROUPING(column_name)=1 来区分分组列。希望这可以帮助。

于 2013-04-26T13:36:38.830 回答